Publication Name	Artificial Intelligence in Gastroenterology
Manuscript ID	125000
DOI	10.35712/aig.125000
Country	India

Category	Gastroenterology & Hepatology
Manuscript Type	Review
Article Title	Artificial intelligence in gastroenterology practice: Current perspectives and emerging prospects
Manuscript Source	Invited Manuscript
All Author List	Sudipta K Roy, Arghya Samanta and Arka Banerjee
Funding Agency and Grant Number
Corresponding Author	Arghya Samanta, Assistant Professor, Department of Pediatric Gastroenterology, Institute of Post Graduate Medical Education and Research, No. 244, Acharya Jagadish Chandra Bose Road, Kolkata 700020, West Bengal, India. arghyasamanta2905@gmail.com
Key Words	Artificial intelligence; Machine learning; Deep learning; Gastroenterology; Endoscopy; Capsule endoscopy; Inflammatory bowel disease; Colorectal cancer; Pancreatic diseases; Hepatobiliary diseases
Core Tip	Artificial intelligence (AI) is increasingly reshaping the landscape of gastroenterology by improving disease detection, endoscopic assessment, risk stratification, prognostication, and therapeutic decision-making. This review provides an overview of current AI applications across gastrointestinal, pancreatic, and hepatobiliary diseases, highlights United States Food and Drug Administration-approved AI platforms integrated into clinical practice, and discusses key limitations and future directions toward precision gastroenterology.
Citation	Roy SK, Samanta A, Banerjee A. Artificial intelligence in gastroenterology practice: Current perspectives and emerging prospects. Artif Intell Gastroenterol 2026; In press DOI: https://doi.org/10.35712/aig.125000
PDF	125000-in-press.pdf

Received	2026-07-07 08:16
Peer-Review Started	2026-07-07 08:16
First Decision by Editorial Office Director
Return for Revision	2026-07-29 00:30
Revised	2026-08-20 19:32
Publication Fee Transferred
Second Decision by Editor	2026-10-19 06:06
Second Decision by Editor-in-Chief
Final Decision by Editorial Office Director	2026-10-20 09:46
Articles in Press	2026-10-20 09:46
Edit the Manuscript by Language Editor
Typeset the Manuscript

ISSN	2644-3236 (online)
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